3382 results about "Meal" patented technology

The invention discloses an electric heating cooker uniform temperature control method and system for gradient temperature difference regulation and control, and relates to the technical field of temperature control, the method comprises the following steps: dividing an internal heating area of a target electric heating cooker, arranging temperature sensors, and acquiring meal temperature data of N subareas in real time through a subarea temperature sensor array; constructing a gradient temperature difference model based on meal heat conduction information and food material characteristic information, and performing deviation calculation on the meal temperature data of the N sub-regions based on the gradient temperature difference model to obtain temperature deviation data of the N sub-regions; and a PID controller is adopted to perform heating power analysis on the temperature deviation data of the N sub-regions, and the heating power adjustment amount of the N sub-regions is determined to control the target electric heating cooker to perform uniform-temperature heating control. The technical effects of realizing uniform temperature control of the electric heating cooker, effectively solving the problem of local overheating or half-cooking caused by a traditional heating mode, ensuring uniform heating of meals and improving the heating quality are achieved.

The invention relates to the technical field of food monitoring, in particular to a nutritious food freshness monitoring and early warning method and system, overcomes the limitation of a traditional method, and improves the level of nutritious food freshness monitoring. The method comprises the following steps: collecting freshness influence factors in the process from production to distribution of the nutritious food; carrying out attribute marking on the collected freshness influence factors to generate a freshness characterization data set; classifying the freshness characterization data set by using a pre-constructed freshness characterization classification model to generate a plurality of freshness characterization type sets; performing freshness evaluation on each freshness characterization type set, and sorting the multiple freshness characterization type sets based on an evaluation result to generate a freshness risk sequence; each freshness characterization type set in the freshness risk sequence corresponds to a freshness risk value; on the basis of a preset freshness requirement threshold value, all freshness characterization type sets in the freshness risk sequence are compared.

The invention discloses a dietary pattern evaluation method and system based on digital intelligent analysis, and relates to the technical field of dietary pattern evaluation.The method comprises the steps that a mobile terminal is used for synchronously collecting multi-modal data, and the multi-modal data are preprocessed; food pictures are retrieved based on keywords to form a data set, an image recognition model is constructed, the volume and area of food materials are calculated in combination with a 3D reconstruction technology, a food material density database is matched, and automatic estimation of the quality of the food materials is achieved; building a voice interaction model fusing characters and regional voice features, and recognizing food material types and food material quality by using voice data; a dynamic allocation weight is calculated through multi-modal confidence, a graph attention mechanism is utilized to detect and correct data conflicts, and a space-time constraint rule base is combined to align dispersed intake records; and constructing a data visualization chart library. According to the method, the rise of dietary structure analysis from extensive statistics to refined intelligent evaluation is realized, and the problem of error accumulation caused by dependence on a single data source in a traditional method is effectively solved.

A method of treating an oxidative stress disease includes orally or intragastrically administering, to a subject in need thereof, a pharmaceutical composition including edaravone with a time interval from a consumption of a meal by the subject in need thereof to an administration of the pharmaceutical composition to the subject in need thereof. The time interval is 8 hours or longer after the consumption of a high-fat meal, the time interval is 4 hours or longer after the consumption of a standard meal, or the time interval is 2 hours or longer after the consumption of a light meal.

The invention discloses storage and distribution equipment and a control method. The storage and distribution equipment comprises a storage cabinet and a distribution robot. The storage cabinet comprises a cabinet body, a rotating frame assembly, a plurality of storage box units and a mechanical arm module, and the cabinet body is provided with a first goods taking window and a storage window. The rotating frame assembly is arranged in the cabinet body; the plurality of storage box units are arranged in the cabinet body and are used for storing articles; the mechanical arm module is arranged in the cabinet body and used for conveying objects in the storage box units to the first goods taking window. The meals or take-out food which can be prepared by personnel can be stored in the storage box units of the storage cabinet, the storage box units can be arranged on the rotating frame assembly by arranging the rotating frame assembly in the storage cabinet, the manipulator module conveys the meals or take-out food in the storage box units to the distribution robot, and the distribution robot conveys the meals to a destination. Automatic distribution is achieved, and the problem of disorder of a catering site is solved.

The invention relates to the technical field of organic fertilizers and planting of watermelons and muskmelons, and provides a special fertilizer for milk irrigated watermelons and muskmelons and a double-stubble planting method for sweetness enhancement of milk irrigated watermelons and muskmelons. The special fertilizer for the milk irrigated watermelons and muskmelons comprises black goat manure, sophora alopecuroide, sesame seed meal, bran, organic fresh milk, brown sugar and zymophyte. The black goat manure is pulverized into powder by a pulverizer, the sophora alopecuroide is pulverizedinto 1 cm to 2 cm, and the ratio of the black goat manure, the sophora alopecuroide, the sesame seed meal, the brans, the organic fresh milk, the brown sugar and the zymophyte is 2700-3200: 80: 50: 150: 5: 1. The double-stubble planting method for sweetness enhancement of the milk irrigated watermelons and muskmelons comprises the following steps: selection of a nursery seedling plate and soil, cleaning and germination accelerating of seeds, soil preparation, transplanting, irrigation, topdressing, shaping and forking of watermelon and muskmelon vines and fruit bearing of the watermelons and the muskmelons. The problems that in an existing watermelon and muskmelon planting process, soil nutrients are damaged due to the fact that chemical fertilizers are used for a long time, and the sweetness of melons is reduced are solved.

The invention relates to the technical field of edge cutting devices, and discloses a disposable meal box edge cutting device which comprises a limiting type adsorption mechanism and an elastic pressure type cutting mechanism. According to the edge cutting device for the disposable lunch box, the box cutting is completed through the adsorption capacity of gas, the abutting type limiting effect can be achieved on the corner structure of the lunch box, and therefore the excessive cutting phenomenon of the cutting tool bit is prevented, in addition, the device can provide elastic buffering type pressure for the cutting tool bit, and the cutting efficiency is improved. Therefore, the cutting tool bit can adapt to excessive cutting of special-shaped corners, the cutting range of the cutting tool bit on the corners of different shapes is widened, and due to the existence of elastic pressure, the phenomenon that the cutting distance of the cutting tool bit is insufficient can be effectively prevented.

The invention discloses a production method of distiller's grain fermentation liquid fertilizer specially applied to roxburgh rose. The distiller's grain fermentation liquid fertilizer is prepared bythe step of evenly mixing 50 to 80 parts of distiller's grain fermentation extracting solution, 0.5 to 1 part of microelement, 5 to 10 parts of seaweed meal, 5 to 10 parts of natural active organism,2 to 5 parts of potassium bicarbonate, 2 to 5 parts of natural active organism and 2 to 5 parts of natural surface active agent. A preparation method of the distiller's grain fermentation extracting solution comprises the steps: evenly stirring 50 to 80 parts of distiller's grain, 50 to 150 parts of rice washing water, 1 to 2 parts of EM microflora fermentation liquid and 0.5 to 1 part of sugar, performing composting fermentation at the room temperature to obtain a distiller's grain fermentation material, stirring and extracting through a sodium carbonate water solution, filtering and performing evaporation and condensation on obtained filtrate until the density is 1.1 to 1.2 to obtain distiller's grain fermentation extracting solution. The distiller's grain fermentation liquid fertilizerdisclosed by the invention has a good use effect, meanwhile can effectively prevent pest and disease damage to the roxburgh rose and is high-efficiency environment-friendly liquid fertilizer.

The invention provides an intelligent refrigerator article storage management method and system. The method comprises the steps that accurate basic data is provided for dynamic storage optimization and healthy diet recommendation; the partition and environmental parameters are dynamically adjusted according to the storage requirements of the food materials, and the preservation time is prolonged; the fresh-keeping state and the storage environment of the food materials are evaluated in real time, and the partition optimization effect is ensured; recording food material taking behaviors of the user, and generating a healthy intake model; and generating personalized diet recommendation and reminding in combination with the health demand and the storage state of the user. According to the intelligent refrigerator article storage management method and system, the food material storage efficiency is optimized through the intelligent technology, the food material utilization rate is increased, and meanwhile the personalized healthy diet requirement of a user is met.

A school food and beverage recognition and processing system includes a self-checkout system that attaches to a school meal line. The self-checkout system uses multiple cameras to obtain images of a student for identification and images of a meal, identify contents of the meal, and determine whether the meal qualifies for reimbursement through a health program or agency. In addition to determining meal reimbursement qualifications, the self-checkout system tracks the meals and items sold for inventory and purchasing purposes. The self-checkout system sends reports to the school or administration agency including reimbursement information, inventory information, and customer information. This information is used to update a student's prepaid school meal account and track transactions.

To provide a system.SOLUTION: A system includes: means for analyzing numerical data included in the result of health screening provided by a user that indicates the health state of the user; means for inputting a specific prompt sentence to a generative AI model and thereby providing, on the basis of the analysis result, advice on the health habit and meal of the user and the exercise performed by the user, as advice on the health of the user; means for providing, on the basis of the analysis result, the user with a one-week recipe customized in conformity with the heath state of the user; means for analyzing the photographs of the meal registered by the user and proposing a plan for improving the meal of the user; and optimization means for optimizing the advice on health and the recipe on the basis of emotion by using an emotion engine that recognizes the emotion of the user and the generative AI model.SELECTED DRAWING: Figure 1

The invention relates to the field of health management, in particular to an intelligent food identification and diet analysis system based on multi-modal interaction, which comprises an intelligent food scale hardware module, a multi-modal identification module, a food database module, a diet analysis module and a mobile phone end synchronization module. The intelligent food scale hardware module comprises a weighing sensor, a camera, a voice interaction unit and a communication unit; the multi-mode recognition module obtains food information through image recognition or voice recognition and matches the food information with the food database module. The diet analysis module calculates the actual intake according to the weighing data and the matched food information; and the mobile phone end synchronization module supports real-time transmission of data to a mobile phone end APP, and generates visual diet analysis reports and health suggestions. Through an image and voice bimodal recognition mechanism, the food recognition accuracy is remarkably improved, the intelligent weighing and data synchronization functions are combined, the user operation process is simplified, and accurate diet management and health guidance are achieved.

To make an electronic device take an appropriate action in response to an action of a user.SOLUTION: An action control system disclosed herein comprises an input unit for receiving user input including information on date of birth and an area of residence of a particular infant, a processing unit for performing specific processing using a sentence generation model for generating a sentence according to an input sentence, and an output unit configured to control an action of an electronic device to output a result of the specific processing, where the specific processing comprises suggesting meal recipes for the infant. The processing unit determines whether a predetermined trigger condition is met or not and, when affirmative, suggests meal recipes for the infant using an output of the sentence generation model that uses information obtained from the user input as the input sentence.SELECTED DRAWING: Figure 2

The invention discloses an intelligent dietary nutrition nursing management system and method based on health data, and relates to the technical field of medical nutrition management. The method includes generating nutritional requirement feature information of a user; analyzing the loss rates of the key nutritional ingredients of the target food material in different processing modes, and obtaining a nutritional loss weight value corresponding to each processing mode; establishing an adaptability matching model according to the nutrition demand feature information and the nutrition loss weight value, and selecting a processing mode meeting the user demand; dynamically adjusting the recommended diet scheme according to the selected processing mode in combination with the current real-time health state data of the user; and recording feedback data of the user on the recommended diet scheme and subsequent changes of the health state, and dynamically optimizing the matching model. According to the invention, a more personalized and scientific diet management scheme is provided, and the problems of low diet scheme recommendation precision and insufficient dynamic adaptive capacity in the prior art are effectively solved.

The invention provides an aviation catering quality monitoring method based on artificial intelligence, and the method comprises the steps: obtaining flight delay information, passenger cabin configuration data and a real-time production line task sequence, evaluating the influence of delay on the task sequence and meal heat preservation time in combination with a preset meal standard, and generating a task recombination demand and a heat preservation time extension prediction value; carrying out real-time image acquisition on the meal semi-finished product required by task recombination, carrying out edge detection and texture analysis to obtain a raw material appearance quality index, and identifying a raw material attribute change trend based on the obtained raw material appearance quality index; and carrying out clustering analysis on the attribute change trend of the raw materials, identifying key characteristic parameters influencing the meal quality, and determining the quality risk level of the current production batch by combining the standardization requirement of the passenger cabin meal and the heat preservation time prolonging prediction value, so as to realize accurate control on the quality of the aviation meal.

The invention relates to the field of plastic meal box processing, and particularly discloses a plastic meal box positive pressure thermal forming process which comprises the following steps: S1, conveying a plastic sheet to a heating station, and pressing and sealing the periphery of the plastic sheet through a clamp to form an airtight area required by forming; s2, the plastic sheets are subjected to partitioned precise heating and state monitoring, specifically, precise control over the heating process of the plastic sheets is achieved through the following sub-steps; by constructing a partitioned precise heating and closed-loop state monitoring system, a traditional heating process depending on artificial experience is converted into a data-driven intelligent process. A target temperature distribution curve is generated based on a three-dimensional model and material characteristics, a real-time temperature monitoring and predictive control algorithm is combined, a heating strategy is dynamically adjusted, it is ensured that a sheet temperature field rapidly and stably reaches a uniform melting or high-elastic state, and the consistency of heating uniformity and forming quality is remarkably improved.

The invention discloses storage and distribution equipment and a distribution method. The equipment comprises a storage cabinet, a distribution robot and an automatic tray collecting device. The storage cabinet comprises a first cabinet body, a circulating motion mechanism, a plurality of storage box units and a pushing mechanism; the circulating motion mechanism is arranged in the first cabinet body; the plurality of storage box units are connected with the circulating motion mechanism, and each storage box unit comprises a box body and a tray; the pushing mechanism is used for pushing the trays and the goods to the goods taking opening together; the distribution robot comprises a telescopic plate, and the telescopic plate is matched with the pushing mechanism to take out the tray and articles in the tray; the automatic tray collecting device is used for collecting trays. A person can store articles in the storage box units, a telescopic plate of the distribution robot can enter the first cabinet body, the pushing mechanism pushes trays and the articles to the telescopic plate together, the distribution robot achieves automatic distribution by retracting the telescopic plate, and the problem that a catering site is disordered is solved; the automatic tray collection device can automatically complete tray collection, and the meal delivery efficiency is improved.

The invention relates to the technical field of group meal food traceability, and particularly provides a group meal food whole-course traceability method and system, and the method comprises the steps: carrying out the traversing of a pre-constructed traceability map according to a food traceability request when the food traceability request is received; based on a first preset evaluation dimension, performing confidence evaluation on each candidate traceability chain path to obtain a plurality of first confidence evaluation results, and screening out a target traceability chain path from all the candidate traceability chain paths according to all the first confidence evaluation results; analyzing whether the target traceability chain path is broken, if yes, repairing the target traceability chain path according to the auxiliary information set and outputting the repaired target traceability chain path, and if not, directly outputting the target traceability chain path; according to the method, the problem that the generated tracing chain is incomplete or inaccurate due to data missing or cross-link data association errors existing in the acquired tracing data can be effectively solved.

The invention relates to the technical field of artificial intelligence, and discloses a blood glucose management system based on artificial intelligence. According to the system, blood glucose monitoring is reminded through the blood glucose monitoring terminal, a blood glucose curve is drawn every week, abnormal blood glucose conditions are judged for reminding and alarming, the diet terminal is used for guiding low-sugar diet recommendation, high-sugar food intake is avoided, the mastering degree of a patient and family members for food classification is improved, and the exercise terminal determines the exercise time and exercise amount of the patient according to the blood glucose value. Parameters are input into an intelligent system, the system converts and selects a motion mode, time and intensity, a drug treatment terminal calculates the insulin injection amount of a patient every day and every meal according to the blood glucose level and food intake, the insulin dosage is adjusted according to the calculated numerical values, blood glucose fluctuation is reduced, and the treatment effect is improved. The education and self-management terminal guides a patient to improve the cognitive degree of diabetes and provides personalized propaganda and education guidance for the patient, and the complication reminding terminal controls the blood sugar of the patient within a normal range, guides a good lifestyle of the patient and guides behavior specifications.

The invention discloses a quantitative evaluation method for personalized glucose metabolism sensitivity and a personalized dietary carbon water recommended intake system. According to the invention, on the basis of repeated measurement of a continuous blood glucose monitor on blood glucose fluctuation after various different standard meals, a new quantitative index is created to characterize differentiated glucose metabolism levels of different individuals. On the basis, the invention also creates a personalized diet library which can provide customized maximum carbon-water intake upper limit of each meal for different individuals for the same food. According to the tool, residents can better know the own glucose metabolism level and the upper limit of the optimal carbon-water intake of each kind of food, so that accurate management of glucose metabolism is realized.

A method of treating an oxidative stress disease includes orally or intragastrically administering, to a subject in need thereof, a pharmaceutical composition including edaravone with a time interval from a consumption of a meal by the subject in need thereof to an administration of the pharmaceutical composition to the subject in need thereof. The time interval is 8 hours or longer after the consumption of a high-fat meal, the time interval is 4 hours or longer after the consumption of a standard meal, or the time interval is 2 hours or longer after the consumption of a light meal.

The invention provides a personalized precise nutrition recipe recommendation method and system based on a genetic algorithm, and the method comprises the steps: inputting various personal information, including gender, age, weight, height, and nutrition risk information (lack of nutrients, risk genes or risk SNP ID), all the personal information being dynamically linked together, and quantitative nutrient demands are generated for specific individuals according to the resident dietary nutrient reference intake and a pre-constructed nutrient-gene interaction database. A food nutrient composition database is pre-constructed on the system and comprises various foods from four different countries and nutritional ingredients of the foods. And then, according to individual quantitative nutrient requirements, selecting and combining food by writing a genetic algorithm, iteratively perfecting the combination of food types and food amounts, and finally outputting an accurate nutrition recipe meeting individual nutrition requirements.

A method of assembling a meal kit tray from a single blank including a bottom panel, wherein the bottom panel is configured to support a bag containing refrigerated items and a cold pack, wherein the single blank further comprises a bottom panel; a side panel extending outwardly from at least a portion of the bottom panel, the side panel joined to the bottom panel along a first fold line defining a joint, wherein the first fold line is interrupted by at least one perforation line segment defining a standoff; and a wing extending outwardly from the side panel, the wing joined to the side panel along a second fold line defining a joint, the wing defining a free end; wherein the method comprises the steps of rotating the side panel upwardly about the first fold line to cause the standoff to separate from the side panel; and rotating the wing downwardly about the second fold line.

The invention relates to an AI personalized nutrition evaluation and guidance method based on individual continuous diet data. The AI personalized nutrition evaluation and guidance method comprises the following steps: (1) calculating individual single meal food and nutrient intake; individual health indexes are collected, the individual daily energy demand amount is calculated, and the daily food and nutrient demand amount is determined; (2) carrying out instant personalized nutrition evaluation on food and nutrients ingested by an individual in a single meal according to a domestic public recommendation standard; (3) on the basis of individual nutrition and health data continuously recorded in the longitudinal direction of time, establishing a personalized nutrition intake-health model taking an individual as a unit, and carrying out personalized nutrition evaluation and health risk prompting; and (4) simulating the idea of nutrition guidance of professionals to create an AI nutrition guidance algorithm, and generating AI guidance. By adopting the AI personalized nutrition evaluation and guidance method based on the individual continuous diet data, a sustainable AI-assisted diet self-management solution suitable for daily life scenes is effectively provided.

The embodiment of the invention discloses a feeding method and device capable of accurately regulating and controlling the feed intake of sows. The method comprises the following steps: identifying an individual identity through an electronic ear tag, and collecting backfat thickness, body condition score and weight data by using an inspection robot; dynamically calling a standard feeding curve based on the fetus number and the body condition score, and finely adjusting the target feed intake in combination with the body weight change trend; a quantitative or interactive feeding mode is adopted in the gestation period, feeding is carried out with different meals of wet mixed feed in the lactation period, and the feed-water ratio is dynamically adjusted; meanwhile, a data closed loop is constructed, a feeding strategy is optimized through big data analysis, and abnormal individuals are visualized. According to the scheme, precise self-adaptive regulation and control of the feeding behavior of the sow in the whole breeding cycle are achieved, and the feed efficiency and the breeding performance are remarkably improved.

The invention relates to an intelligent food taking and weighing system, belongs to the technical field of intelligent restaurants, and solves the problem of inaccurate food taking behavior recognition in the prior art. The system comprises a weighing platform used for detecting the weight change of dishes; the first camera is used for shooting a human body behavior image; the second camera is used for shooting a face image; the meal taking behavior recognition module is used for processing the human body behavior image through a key point recognition model, identifying a human body coordinate frame and key points and acquiring position information of the key points; then, according to the human body coordinate frame, the position information of the key points and the weight change of the dishes, food taking behaviors are recognized; the identity recognition module is used for acquiring identity information of a meal taker when only one meal taking behavior is recognized; and the binding module is used for binding the weight change of the dishes as the meal taking weight with the identity information of the meal taker when only one meal taking behavior is identified. According to the system, the meal taking behavior can be accurately identified, and false alarm of multi-person meal taking is avoided.

The invention provides an intelligent cooking supervision optimization system based on digital twinning and a construction method, and solves the problems of insufficient whole-process supervision of a traditional kitchen, lagging of real-time early warning and difficulty in operation standardization. The system constructs a virtual model through high-precision modeling (geometry, physics, behaviors and rules); the whole stir-frying link is uniformly coded by using an industrial internet identification analysis technology, so that data tracking and tracing are realized; a real-time data acquisition, transmission and analysis mechanism is established, and seamless virtual-real mapping between physical equipment and a digital platform is realized; and a visual control interface is constructed to support ordering and remote control. A scheduling rehearsal mechanism based on an improved ant colony algorithm is innovatively proposed, multi-task multi-pot dish distribution scheduling is optimized, trial and error cost is reduced, and meal delivery efficiency and system stability are improved. The system provides support for digital and intelligent transformation of the catering industry, and improves food safety supervision and kitchen operation efficiency.

The invention discloses an intelligent canteen management system and method, and relates to the technical field of canteen management. Dinner plate waste data is acquired, the food waste amount is calculated, a dinner plate waste data set is established, a dinner plate classification model is constructed by using a twin neural network algorithm, and after the dinner plate data is screened, a waste analysis table is constructed; the method comprises the following steps: establishing a waste analysis index WI analysis model based on a waste analysis table, determining a key analysis window, analyzing related data of the key window, drawing a curve, judging the trend of the curve by using Hilbert-Huang transform, judging the change trend of the waste index by using a cumulative first-order difference ratio algorithm if the trend changes are consistent, and adjusting the food supply quantity of the dinner plate. The system comprises a data acquisition module, a data reconstruction module, a window analysis module, a trend analysis module and an intelligent regulation and control module, multiple factors are integrated, an effective means is provided for intelligent canteen management, and reduction of food waste is facilitated.

The invention provides a preparation method of low-sodium hollow salt capable of dietary supplement of astaxanthin, which comprises the following steps: dissolving haematococcus pluvialis protein and food-grade polysaccharide in water, adjusting pH and stirring to obtain a compound solution; adding NaCl and oil into the compound solution, carrying out high-speed dispersion, and carrying out high-pressure homogenization treatment, so as to obtain an oil-in-water Pickering emulsion; the oil-in-water Pickering emulsion is subjected to spray drying, and the low-sodium hollow salt loaded with the astaxanthin is obtained. The low-sodium hollow salt capable of dietary supplement of astaxanthin does not contain any surfactant, and the sodium reduction effect of 30-50% can be achieved; the astaxanthin is encapsulated in the oil phase, so that the problems of poor water solubility, low bioavailability and the like of the astaxanthin are solved, and daily dietary supplement of the astaxanthin is increased; under long-term storage, the low-sodium hollow salt has good astaxanthin retention rate and lipid oxidation stability; the oil oxidation of the fried steak can be effectively prevented, and the food quality can be maintained.